Udantha Abeyratne

Udantha Abeyratne is an Associate Professor at the University of Queensland's School of Electrical Engineering and Computer Science. He holds a PhD in Biomedical Engineering from Drexel University, MEng and BScEE degrees from Tokushima University, and graduate certificates in Higher Education (University of Queensland) and Paediatric Sleep Science (University of Western Australia).

His research centers on developing innovative diagnostic technologies using signal processing and machine learning. Key areas include respiratory sound analysis for pneumonia and asthma detection, snore-based sleep apnea diagnostics, wearable medical devices, and mHealth solutions for resource-limited regions. His work has been funded by the Bill & Melinda Gates Foundation, Australian Research Council, and A*STAR Singapore.

His publications demonstrate a consistent focus on translating engineering innovations into clinical applications, particularly in cough/snore acoustics, sleep physiology, and point-of-care diagnostics. Research frequently involves multisite collaborations and validation against gold-standard clinical measures.

Awards include the 1990 Best Paper Award at the ISBET Brain Topography Conference and recognition as a finalist in the 1991 Young Investigators' Competition at the IFMBE World Congress.

He has supervised over 15 PhD students in areas spanning biomedical signal processing, machine learning applications, and medical device development. Major grants support technologies like smartphone-based disease diagnosis and real-time fatigue monitoring systems.

Leads research teams developing the Magithescope™ stethoscope and diagnostic platforms like SnoreSounds. Collaborates globally with hospitals and research institutions to validate technologies in clinical and community settings.